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Post graduate Program in Google Quantum AI

  • 24/7 Support
  • 12 Months
  • 480 Sessions

Course Description

The Post Graduate Program in Google Quantum AI is an advanced, industry-aligned program designed to build deep expertise in quantum computing and its integration with artificial intelligence. The course covers quantum theory, quantum algorithms, quantum machine learning, and hands-on exposure to Google Quantum AI tools. It focuses on real-world applications, research-driven innovation, and future technology readiness, preparing learners to work in cutting-edge quantum and AI domains across industry and academia.

 

One to One personalized training Schedule for Post graduate Program in Google Quantum AI

EkasCloud provides flexible training to all it's student. Here is our training schedule. Incase you find these timings difficult, please let us know. We will try to arrange appropriate timings based on your Convenience.

12-02-2026 Thursday (Monday - Friday) Weekdays Regular 08:00 AM (IST) (Class 1Hr - 1:30Hrs) / Per Session
14-02-2026 Saturday (Monday - Friday) Weekdays Regular 08:00 AM (IST) (Class 1Hr - 1:30Hrs) / Per Session
16-02-2026 Monday (Monday - Friday) Weekdays Regular 08:00 AM (IST) (Class 1Hr - 1:30Hrs) / Per Session
17-02-2026 Tuesday (Monday - Friday) Weekdays Regular 08:00 AM (IST) (Class 1Hr - 1:30Hrs) / Per Session

Course Detail

The Post Graduate Program in Google Quantum AI is an advanced, industry-aligned program designed to build deep expertise in quantum computing and its integration with artificial intelligence. The course covers quantum theory, quantum algorithms, quantum machine learning, and hands-on exposure to Google Quantum AI tools. It focuses on real-world applications, research-driven innovation, and future technology readiness, preparing learners to work in cutting-edge quantum and AI domains across industry and academia.

 

Quantum computing is rapidly transforming the future of artificial intelligence, data processing, and complex problem-solving. Learning this course enables you to understand how quantum systems outperform classical computers for specific tasks. It prepares you for next-generation roles in Quantum AI, equips you with rare and high-value skills, and positions you ahead of the technology curve in a globally emerging and high-demand field.


Benefits of This Course
  • Gain advanced knowledge of Quantum Computing and Artificial Intelligence

  • Learn Quantum Machine Learning and quantum-enhanced algorithms

  • Hands-on exposure to Google Quantum AI tools and frameworks

  • Develop strong analytical, mathematical, and research-oriented skills

  • Strengthen your resume with postgraduate-level Quantum AI expertise

  • Prepare for careers in Quantum AI research, advanced AI, and innovation roles

  • Build a solid foundation for doctoral studies or advanced certifications

 

 We check your knowledge before we start the session.

 We build foundational topics first and core topics next.

 Theory classes with a real-time case study.

 Demo on every topic.

 You will learn how to design architecture diagrams for each service.

 Mock exam on every topic you understand.

 Exam Preparation

 Interview Preparation

 
 

Post graduate Program in Google Quantum AI Syllabus


12 Months Course 50% Theory 50% Lab Daily Home work and Real-time Projects Unlimited Mock Exams Unlimited Mock Interview

Topics Covered

  • Introduction to Quantum Computing and Quantum AI

  • Mathematical Foundations for Quantum Systems

  • Qubits, Superposition, and Entanglement

  • Quantum Gates and Quantum Circuits

  • Multi-Qubit Systems and Quantum Measurement

  • Quantum Algorithms (Deutsch–Jozsa, Grover, Shor – Concepts)

  • Quantum Error Correction and Noise Models

  • Introduction to Quantum Machine Learning

  • Variational Quantum Algorithms (VQE, QAOA)

  • Quantum Data Encoding Techniques

  • Google Quantum AI Ecosystem Overview

  • Cirq Framework and Quantum Circuit Design

  • Hybrid Quantum–Classical Models

  • Real-World Applications of Quantum AI

  • Capstone Project and Future Research Pathways

 
 

Frequently asked question

Q: What if I miss a class?
A: We will stop the course for you because it is one-to-one or one-to-two students only.

Q: Will I get placement assistance?
A: Yes. You will get it once you are Certified.

Q: What if I have queries after I complete this course?
A: You can check our blog or send your queries from our website, social media like Facebook, Linkedin, Instagram, Twitter, and Youtube.

Q: How soon after signing up will I get access to the course?
A: Once you join the course, our Counselor Manager book a slot with our Trainer based on your and Trainer's available time.

Q: Is the course material accessible to the students even after the course training is over?
A: Yes, you can access our course material. Not only material, but you can also watch short and sweet videos from our Youtube Channel.

Q: What is the average salary ?   
A: $1,40,868

Q: How will this course help me pass the certification?
A: We provide separate Training for Exam and Interviews. In this Training will get more experience to pass Your Exam.

 
 

Admission Process

If a student want to take admission in any course he has to go with the following steps

Step 1
1 Hour Interview
  • Discuss Learning Goals: Understand the candidate’s career objectives, learning expectations, and prior experience (if any).
  • Personalized Course Recommendation: Based on the discussion, recommend the most suitable course.
  • Course Customization: Tailor the course plan to fit the candidate’s needs, including scheduling flexibility.
Step 2
3 Hour Assessment Session
  • Technical Skills Evaluation: Hands-on tasks or exercises to evaluate the candidate’s current technical understanding (for advanced courses).
  • Cloud Fundamentals Check: For entry-level courses, a basic assessment of cloud knowledge and IT skills.
  • Feedback & Results: Provide instant feedback and suggest an appropriate course path based on assessment performance.
Step 3
Final Enrollment

Upon successful completion of the assessment, candidates receive a customized learning path, course schedule, and payment options. Candidates can finalize their enrollment by agreeing to the course structure and payment plan.


Post graduate Program in Google Quantum AI Fees
£ 14000